Vision AI Video Intelligence Platform

Developed a Vision AI platform that serves as the foundation for multiple computer vision and edge AI initiatives. The platform combines cloud infrastructure, AI integrations, and modern web technologies to enable real-world operational use cases across multiple industries.

My involvement

Led the platform's technical architecture and day-to-day engineering delivery.
Defined frontend, backend, cloud, and application architecture across the platform.
Built the initial frontend architecture and reusable service layer to establish engineering standards before scaling development.
Led technical recovery of an external implementation by restoring platform stability and aligning it with the intended architecture.
Built key platform components including backend services, AWS infrastructure, CI/CD automation, and a modular multi-application architecture.
Directed engineering execution, technical prioritization, and code quality across multiple development efforts.
Extended the platform to support additional AI-driven initiatives through solution design, customer discovery, and pilot planning.

Outcomes

Delivered the Vision AI MVP without additional engineering headcount or infrastructure investment.
Earned AT&T's Connection Award for delivery of the Vision AI platform.
Established the technical foundation for multiple AI-driven initiatives built on the platform.

Related achievements

CV Platform MVP (Connection Award)
Delivered the AI Video Intelligence platform MVP with no incremental infrastructure budget or added headcount, earning AT&T's Connection Award.
Platform Technical Direction
Took initiative to lead technical direction on a platform project, working with the leadership to define use cases and build a working demo UI.
Backend Platform (cv-backend) Development
Built NestJS backend with PostgreSQL, S3 integration, authentication flows, and production deployment on EKS with observability and health checks.
Multi-Tenant Platform with RBAC and Authentication
Designed and implemented multi-tenant architecture including organization onboarding, RBAC, tenant isolation, identity lifecycle management, invite flows, and Keycloak-based authentication.
Modular Monorepo Consolidation
Restructured the codebase into a modular monorepo, eliminating duplicated code across verticals and reducing setup effort for new product lines.
Real-Time Alerting System (Kafka + WebSockets)
Rebuilt live alert pipeline using Kafka consumer, WebSocket routing, deduplication logic, and restored real-time dashboard functionality.
Security Remediation Leadership · Jul 2026
Led remediation of cloud security findings by investigating issues, prioritizing fixes, coordinating implementation across engineering teams, and strengthening security controls and CI-based quality enforcement.
Security and Code Quality Enforcement
Resolved security vulnerabilities, hardened cloud policies, and implemented CI-based quality gates (linting, type checks, vulnerability scanning).
Vaidio and Linker Vision AI Partner Integration · May 2026
Implemented direct API integrations with Vaidio and Linker Vision computer vision platforms, validating partner API feasibility and accelerating adoption of AI vision capabilities.
Team Execution and Unblocking
Drove the team's execution to deadline through consistent technical direction and unblocking.